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Plum is building a proactive money platform to help people grow their money. We design and maintain a scalable AI Platform, internal frameworks, and services used by multiple product squads, focusing on prompt engineering, guardrails, and observability.
Join a team that collaborates with product and engineering, delivers reliable AI solutions, and promotes a strong developer experience with cloud-native architecture and IaC practices. Flexible remote work with office days in London.
Millions of people want to grow their money but don't know where to start. More than 90% of adults don't access traditional financial advice. That's the gap Plum was built to close. We're building the proactive money platform that makes it easy for people to smartly and sustainably grow their money. Whether you're stashing the cash for tea and toast in your first home or catching some rays during retirement, we've got your back.
Design, build, and maintain a robust, scalable, and cost-effective AI Platform that supports AI initiatives across the organization. Develop and maintain internal frameworks, libraries, and services used by multiple product squads. Establish and promote best practices around prompt engineering, AI guardrails, and AI evaluation methodologies. Build platform capabilities that enable teams to safely deploy, monitor, and iterate on AI-powered applications. Configure and maintain tracing, monitoring, observability, and incident management solutions to ensure platform reliability. Partner closely with product and engineering teams to understand their needs and provide scalable platform solutions. Continuously improve developer experience and platform adoption across the organization.
5+ years of experience in Software Engineering, Backend Engineering, or Platform Engineering. Strong experience building and maintaining backend systems and distributed services in production environments. Experience designing developer platforms, internal tooling, shared services, or infrastructure that supports multiple engineering teams. Hands-on experience building AI-powered applications and services using modern LLM frameworks and agentic architectures. Good understanding of modern AI concepts and practices, including: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, AI Guardrails, AI Evaluation Frameworks Experience with AI frameworks such as Agent Development Kit (ADK), LangChain, LangGraph, CrewAI, or similar. Experience working with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Strong understanding of system reliability, observability, monitoring, and incident management. Experience with Infrastructure as Code and cloud-native architectures. Будет плюсом: Previous experience working within a Platform Engineering team is a strong plus